Jingzhou Luo — accepted AI-conference papers

2025

Beyond the Destination: A Novel Benchmark for Exploration-Aware Embodied Question Answering

Kaixuan Jiang, Yang Liu, Weixing Chen, Jingzhou Luo, Ziliang Chen, Ling Pan +2

ICCV 2025poster

Embodied Question Answering (EQA) is a challenging task in embodied intelligence that requires agents to dynamically explore 3D environments, actively gather visual information, and perform multi-step reasoning to answer questions. However, current EQA approaches suffer from critical limitations in…

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2025

DSPNet: Dual-vision Scene Perception for Robust 3D Question Answering

Jingzhou Luo, Yang Liu, Weixing Chen, Zhen Li, Yaowei Wang, Guanbin Li +1

CVPR 2025poster

3D Question Answering (3D QA) requires the model to comprehensively understand its situated 3D scene described by the text, then reason about its surrounding environment and answer a question under that situation. However, existing methods usually rely on global scene perception from pure 3D point c…

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